Simulation-Based Design and Optimization of Accelerometers Subject to High-Temperature and High-Impact Loads

Ji, Li; Tian, Yaling; Dan, Junjie; Bi, Zhuming; Zheng, Jie; Li, Bailin

doi:10.3390/s19173759

Cited by 3 publications

(3 citation statements)

References 19 publications

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“…Simulation-based design and optimization of an accelerometer subject to thermal loads has been presented [63]. As verification of thermal simulations, comparisons of simulations and measurements in smartphones, a power semiconductor device, and a tablet device have been reported [60,[64][65][66][67].…”

Section: Validity Of Thermal Network Modelmentioning

confidence: 99%

Thermal Model and Countermeasures for Future Smart Glasses

Matsuhashi

Kanamoto

Kurokawa

2020

Sensors

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The market for wearable devices such as smart watches and smart glasses continues to grow rapidly. Smart glasses are attracting particular attention because they offer convenient features such as hands-free augmented reality (AR). Since smart glasses directly touch the face and head, the device with high temperature has a detrimental effect on human physical health. This paper presents a thermal network model in a steady state condition and thermal countermeasure methods for thermal management of future smart glasses. It is accomplished by disassembling the state by wearing smart glasses into some parts, creating the equivalent thermal resistance circuit for each part, approximating heat-generating components such as integrated circuits (ICs) to simple physical structures, setting power consumption to the heat sources, and providing heat transfer coefficients of natural convection in air. The average temperature difference between the thermal network model and a commercial thermal solver is 0.9 °C when the maximum temperature is 62 °C. Results of an experiment using the model show that the temperature of the part near the ear that directly touches the skin can be reduced by 51.4% by distributing heat sources into both sides, 11.1% by placing higher heat-generating components farther from the ear, and 65.3% in comparison with all high conductivity materials by using a combination of low thermal conductivity materials for temples and temple tips and high conductivity materials for rims.

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Section: Validity Of Thermal Network Modelmentioning

confidence: 99%

Thermal Model and Countermeasures for Future Smart Glasses

Matsuhashi

Kanamoto

Kurokawa

2020

Sensors

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“…However, root causes exciting TDE have not been studied completely. Reference [17] builds a simulation model to comprehensively research the multi-factor coupling behavior of MEMS accelerometers under high-temperature impact load. It shows the key to TDE traceability is a deep exploration of its thermal characteristics.…”

Section: Introductionmentioning

confidence: 99%

A Novel Temperature Drift Error Precise Estimation Model for MEMS Accelerometers Using Microstructure Thermal Analysis

Shi

Zhang

et al. 2022

Micromachines

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Owing to the fact that the conventional Temperature Drift Error (TDE) precise estimation model for a MEMS accelerometer has incomplete Temperature-Correlated Quantities (TCQ) and inaccurate parameter identification to reduce its accuracy and real time, a novel TDE precise estimation model using microstructure thermal analysis is studied. First, TDE is traced precisely by analyzing the MEMS accelerometer’s structural thermal deformation to obtain complete TCQ, ambient temperature T and its square T2, ambient temperature variation ∆T and its square ∆T2, which builds a novel TDE precise estimation model. Second, a Back Propagation Neural Network (BPNN) based on Particle Swarm Optimization plus Genetic Algorithm (PSO-GA-BPNN) is introduced in its accurate parameter identification to avoid the local optimums of the conventional model based on BPNN and enhance its accuracy and real time. Then, the TDE test method is formed by analyzing heat conduction process between MEMS accelerometers and a thermal chamber, and a temperature experiment is designed. The novel model is implemented with TCQ and PSO-GA-BPNN, and its performance is evaluated by Mean Square Error (MSE). At last, the conventional and novel models are compared. Compared with the conventional model, the novel one’s accuracy is improved by 16.01% and its iterations are reduced by 99.86% at maximum. This illustrates that the novel model estimates the TDE of a MEMS accelerometer more precisely to decouple temperature dependence of Si-based material effectively, which enhances its environmental adaptability and expands its application in diverse complex conditions.

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“…Instead of time-consuming and costly MEMS fabrication process, the simulation-based method will minimize the cost and time in the design and optimization. At a small scale, resonators [18,19], gyroscopes [20], accelerometers [21,22], and actuators [23] must consider the physical phenomena involved in their operation in order to design and optimize the structure of MCL. A general theoretical model for the frequency response of an MCL executing torsional vibration in a fluid of arbitrary viscosity and density was presented [24].…”

Section: Introductionmentioning

confidence: 99%

Simulation-Based Design and Optimization of Rectangular Micro-Cantilever-Based Aerosols Mass Sensor

Wei

Bian

et al. 2020

Sensors

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Micro-Cantilever (MCL) is a thin film structure that is applied for aerosol particle mass sensing. Several modifications to the rectangular MCL (length-to-width ratio, slots at the anchor, serrations at its side edges) are made to deduce the role and influence of the shape of rectangular MCL-based aerosol mass sensors and reduce gas damping. A finite element fluid-structure interaction model was used to investigate the performance of MCL. It is found that (I) the mass sensitivity and quality factor decline with the increasing of length-to-width ratio which alters the resonant frequency of the MCL. The optimum conditions, including the length-to-width ratio (σlw = 5) and resonant frequency (f0 = 540.7 kHz) of the MCL, are obtained with the constant surface area (S = 45,000 μm2) in the frequency domain ranging from 0 to 600 kHz. (II) The slots can enhance the read-out signal and bring a small Q factor drop. (III) The edge serrations on MCL significantly reduce the gas damping. The results provide a reference for the design of aerosol mass sensor, which makes it possible to develop aerosol mass sensor with high frequency, sensitivity, and quality.

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Simulation-Based Design and Optimization of Accelerometers Subject to High-Temperature and High-Impact Loads

Cited by 3 publications

References 19 publications

Thermal Model and Countermeasures for Future Smart Glasses

Thermal Model and Countermeasures for Future Smart Glasses

A Novel Temperature Drift Error Precise Estimation Model for MEMS Accelerometers Using Microstructure Thermal Analysis

Simulation-Based Design and Optimization of Rectangular Micro-Cantilever-Based Aerosols Mass Sensor

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